Triple

T37255837
Position Surface form Disambiguated ID Type / Status
Subject The Flintstones in Viva Rock Vegas E924122 entity
Predicate character P662 FINISHED
Object Betty O'Shale
Betty O'Shale is a young, prehistoric-era woman and Wilma Slaghoople’s best friend in the live-action comedy prequel film "The Flintstones in Viva Rock Vegas."
E2283471 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Betty O'Shale | Statement: [The Flintstones in Viva Rock Vegas, character, Betty O'Shale]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Betty O'Shale
Triple: [The Flintstones in Viva Rock Vegas, character, Betty O'Shale]
Generated description
Betty O'Shale is a young, prehistoric-era woman and Wilma Slaghoople’s best friend in the live-action comedy prequel film "The Flintstones in Viva Rock Vegas."

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb372b828481908aa99aaa229c9c47 completed May 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4256cbfdc08190bde47ef92a78408f completed June 29, 2026, 11:28 a.m.
NEDg Description generation batch_6a4257493dd88190acfb9bd77c935268 completed June 29, 2026, 11:30 a.m.
NED2 Entity disambiguation (via description) batch_6a42579e40e48190bc4c52ebb6510266 completed June 29, 2026, 11:31 a.m.
Created at: May 3, 2026, 4:15 p.m.